Innovations in AI-assisted imaging, health monitoring, and telehealth
Medical equipment manufacturers can benefit from industrial PCs purpose-built for imaging and other AI use cases. IPCs help shorten development and regulatory cycles—speeding time to market.
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It’s well known that Interventional Radiology can improve patient outcomes. OEMs with expertise in healthcare technology help speed up IR equipment development, certification, and time to market.
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Edge AI is changing the face of healthcare diagnostics. Endoscopy procedures are a prime example—helping GI specialists screen for cancer more accurately, improving patient outcomes.
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How can medical facilities meet patient needs without overburdening nurses? An AI-driven app that routes requests directly to the right departments is the answer. Like “DoorDash” for hospitals.
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AI is facilitating significant gains in diagnostic imaging—delivering insights to radiologists that support faster and more accurate clinical decision-making—resulting in better patient outcomes.
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AI is becoming a powerful tool for detecting pancreatic cancer, which is often diagnosed at a late stage. The technology helps physicians spot the disease faster and with more accuracy.
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Reference designs and performant edge compute help ISVs, OEMS, and SIs deploy AI-powered medical imaging solutions faster—offering enormous benefits to physicians and patients alike.
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Across the care continuum, patient care needs reliable data right from the start. Data-driven decision-making helps clinicians solve the most urgent care needs. Patient-centered AI makes it possible.
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IoMT is transforming healthcare with automated vital signs technology, easing patient waits and optimizing workflows. Discover how AI-powered self-service kiosks make it happen.
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Medical device designers can leverage performant processing in a plug-and-play form factor as a shortcut to building efficient edge AI systems with the potential to improve healthcare outcomes.
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Compact and portable medical grade computers are used throughout hospitals and clinics. With near-real-time analytics, practitioners can make better-informed diagnostic and treatment decisions.
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AI-driven computer vision applied to medical imaging accelerates discovery of data correlations. It finds problem points worth exploring more quickly, helping humans zero in on problems faster.
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AI continues to transform healthcare. The latest innovation? A platform that helps doctors make more accurate diagnoses in less time, enabling them to better engage with their patients.
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Utilizing AI to unlock previously siloed healthcare data provides surgeons with crucial information precisely when and where they need it most—in the operating room.
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Modern panel PCs enable data integration from a diverse range of medical equipment via an all-in-one, compact computer that meets hospital sanitary, usability, security, and reliability needs.
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Experience the future of surgery with AI. Real-time data empowers doctors, minimizing risks, reducing variability, and leading to superior surgical outcomes for patients.
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Radiology professionals and scientists from around the world gathered at the annual RSNA conference to exchange ideas, discover the latest research, and connect with peers. Here are the highlights.
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With 3D imagery and AI in healthcare, pathologists have more tools to diagnose tumors with greater speed and precision. The outcome? Cancer patients are more likely to get the right treatment, faster.
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Intel® Innovation 2023 showcased new hardware, software, and AI capabilities, demonstrating how to take computer vision and AI to the next level. Learn all about the latest announcements.
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To deliver real-world impact and improve business operations, AI developers need cutting-edge tools and technologies that bring AI solutions and computer vision applications to life.
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